[PDF] Top 20 Filtering Research of Depth Information Based on Kinect
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Filtering Research of Depth Information Based on Kinect
... Median filtering can effectively overcome the interference caused by accidental factors, taking into account the real-time characteristic of the depth information, the median filtering ... See full document
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A reinforced collaborative filtering approach based on similarity propagation and score predication graph
... Collaborative filtering is one of the most widely used approaches in a recommendation system. Nevertheless, there still exist many problems, such as the serious data sparsity problem and the cold start problem. In ... See full document
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Development of an automated exercise Detection and Evaluation system using the Kinect depth camera
... is based on a set of parameters of an ...context information. A reference recording based detection system can indicate that a performance was false, but is not able to tell what exact movement ... See full document
113
Kinect Based Classification of Accessibility from Natural Body Language
... The research in this field is only for the development of an automated ...for information gathering for affect and this is directly helps to understand how affect is expressed through body ... See full document
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Kinect depth stream pre-processing for hand gesture recognition
... The depth stream acquired from Kinect sensor is low res- olution (640x480) and contains random noise and quantization er- ror ...the depth stream based segmentation and HGR ...from ... See full document
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An Integrated Recommendation System using Graph Database and QGIS
... This research suggests a recommendation system for shopping, where based on shopping behavior of people the shortest path is suggested to ...so based on online reviews of product, the shortest ... See full document
6
Research on E-mail Filtering Based On Improved Bayesian
... is based on “Bayesian assumptions” which assume that each of the characteristics is independent by analyzing the ...important information lost, and leads to misjudging spam and legitimate ...e-mail ... See full document
5
Methods for depth-map filtering in view-plus-depth 3D video representation
... per-pixel depth represented as gray-scale image ...the depth map plays a crucial role as it determines the quality of the rendered ...received depth map, the compression artifacts are usually most ... See full document
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A New User Model based Interactive Product Retrieval Process for improved eBuying
... In information retrieval, even powerful search engines such as google or yahoo still use one- size-fits-all strategy (Smyth, Coyle et ...ongoing research to improve the performance of these search ...Most ... See full document
21
Depth Video Compression Using Weighted Mode Filtering
... a depth video by taking coding artifacts, spatial resolution, and dynamic range of the depth data into ...a depth video compressed by conventional video coding standards often introduces serious ... See full document
9
A new approach to multimedia information filtering based on its structure
... Table 1 illustrates the centrality indices and the ranking scores of the collection .The third column of Table 1 shows the Betweenness Centrality indices of the nodes. Betweenness Centrality indices “allow a ... See full document
7
Behavior Analysis in the Elderly Care Center Using Kinect Depth Sensor
... and Information Engineering from National Chiao Tung University in 1991 and 1998, ...and Information Engineering, at Chaoyang University of Technology, Taiwan ...technology research projects. His ... See full document
5
Track based Gesture Recognition Method Based on Kinect
... track information has good portability and expansibil- ...and depth data, providing a sound basis for further gesture track ...on depth images using the coordinate information and tracks ... See full document
6
Improving Video Segmentation by Fusing Depth Cues and the ViBe Algorithm
... fuses depth and color information. To incorporate the features of depth images, a depth model is designed in addition to a background ...strategy based on the developed background and ... See full document
11
Research on Image Preprocessing Based on Mathematical Morphology Filtering
... morphological filtering problems can be summed up as two basic problems: the combination of the morphological operations and the selection of the structural ...operations based on the actual ... See full document
6
Joint target tracking and classification with particle filtering and mixture Kalman filtering using kinematic radar information
... mode information can be further improved by using of a delayed mode estimation ...valuable information about the current mode ...following. Based on the posterior distribution p(x k , λ k | c, Ω k ), ... See full document
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XSS Vulnerability Scanning Algorithm Based on Anti filtering Rules
... Abstract. In this paper, we investigate the main security vulnerabilities of web system and vulnerability scanning technology and the causes of different web system vulnerabilities are analyzed. We deeply analyze XSS ... See full document
5
Motion tracking and gait feature estimation for recognising Parkinson’s disease using MS Kinect
... Results: The main objective of this work involves the recognition of selected gait dis- orders in both the clinical and everyday settings. The results obtained include an evalu- ation of leg lengths, with a mean ... See full document
20
Joint Gender and Face recognition System for RGB-D images with Texture and DCT Features
... the depth and RGB image obtained from Kinect. The depth image, is having high inter class similarity and may not be directly useful for this ...the depth data obtained from Kinect can ... See full document
9
A review of Content and Collaborative filtering approaches on Movielens Data
... Mohammad Yahya H. Al-Shamri et. al. [2014] proposed fuzzy weightings for the most common similarity measures for memory-based CRSs. Fuzzy weighting can be considered as a learning mechanism for capturing the ... See full document
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